Robotics AI Architect/Principal Robotics Architect/Robot Learning Engineer, Cross-Embodiment

About the Role

We are seeking a Physical AI Architect to support an advanced robotics initiative focused on building reusable Physical AI capabilities across multiple robot platforms.

You will define a common architecture that lets learned policies and robotic skills operate across robots with different morphologies, replacing one-off integrations for each platform.

The platform portfolio includes humanoids, bi-manual mobile manipulators, quadrupeds, AMRs, cobots, and drones.

Key Responsibilities

• Architect reusable Physical AI capabilities across multiple robotic platforms and morphologies.
• Determine when to apply deterministic algorithms, motion planning, learned policies, or reinforcement learning.
• Design common observation/action interfaces and abstractions for sensors, effectors, kinematics, and control.
• Develop approaches for learned-policy deployment, execution, monitoring, fallback, and command constraints.
• Address high-DoF challenges including collision avoidance, multi-arm coordination, kinematics, and motion.
• Develop and validate capabilities in simulation and on physical hardware.
• Support ROS 2-based architecture and integration.
• Establish repeatable methods for evaluating task success, inference latency, interventions, and sim-to-hardware performance.
• Collaborate with robotics, software, controls, embedded, and hardware engineers.
• Document architecture decisions and enable internal teams to maintain and extend the platform.

Required Qualifications

• Significant hands-on experience with Physical AI, robotics algorithms, robot learning, or autonomous systems.
• Proven deployment of algorithms or learned policies on physical robots, not simulation alone.
• Strong foundation in kinematics, motion planning, optimization, controls, collision avoidance, or reinforcement learning.
• Experience with ROS / ROS 2 and Linux-based robotics environments.
• Experience with complex or high-DoF robotic systems.
• Strong software engineering skills, ideally in Python and/or C++.
• Experience with robotics simulation and hardware validation.
• Ability to turn ambiguous, research-oriented problems into practical engineering solutions.
• Strong architecture skills and comfort working directly with senior technical stakeholders.